{"id":"https://openalex.org/W4397042104","doi":"https://doi.org/10.1007/s11042-024-19390-7","title":"VoteDroid: a new ensemble voting classifier for malware detection based on fine-tuned deep learning models","display_name":"VoteDroid: a new ensemble voting classifier for malware detection based on fine-tuned deep learning models","publication_year":2024,"publication_date":"2024-05-18","ids":{"openalex":"https://openalex.org/W4397042104","doi":"https://doi.org/10.1007/s11042-024-19390-7"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-024-19390-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-024-19390-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-024-19390-7.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-024-19390-7.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016480846","display_name":"Halit Bak\u0131r","orcid":"https://orcid.org/0000-0003-3327-2822"},"institutions":[{"id":"https://openalex.org/I4210107944","display_name":"Sivas State Hospital","ror":"https://ror.org/01myv5196","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I4210107944"]},{"id":"https://openalex.org/I4387154028","display_name":"Sivas Bilim ve Teknoloji \u00dcniversitesi","ror":"https://ror.org/05s32j989","country_code":"TR","type":"education","lineage":["https://openalex.org/I4387154028"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Halit Bak\u0131r","raw_affiliation_strings":["Faculty of Engineering and Natural Sciences, Department of Computer Engineering, Sivas University of Science and Technology, Sivas, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-3327-2822","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Natural Sciences, Department of Computer Engineering, Sivas University of Science and Technology, Sivas, Turkey","institution_ids":["https://openalex.org/I4210107944","https://openalex.org/I4387154028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016480846"],"corresponding_institution_ids":["https://openalex.org/I4210107944","https://openalex.org/I4387154028"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":4.0856,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94947217,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"84","issue":"12","first_page":"10923","last_page":"10944"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12034","display_name":"Digital and Cyber Forensics","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9255118370056152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6223232746124268},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6172323822975159},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6063452959060669},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.6055129766464233},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5126897096633911},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5029508471488953},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46331146359443665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40449345111846924},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11790874600410461}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9255118370056152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6223232746124268},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6172323822975159},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6063452959060669},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.6055129766464233},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5126897096633911},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5029508471488953},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46331146359443665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40449345111846924},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11790874600410461},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-024-19390-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-024-19390-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-024-19390-7.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11042-024-19390-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-024-19390-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-024-19390-7.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F6508196328","display_name":"Sivas Bilim ve Teknoloji \u00dcniversitesi","ror":"https://ror.org/05s32j989"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4397042104.pdf"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2122672392","https://openalex.org/W2125011234","https://openalex.org/W2789983203","https://openalex.org/W2885035978","https://openalex.org/W2885070483","https://openalex.org/W2900275727","https://openalex.org/W2966250355","https://openalex.org/W2970916071","https://openalex.org/W2981360604","https://openalex.org/W2986232939","https://openalex.org/W3038549562","https://openalex.org/W3044668093","https://openalex.org/W3081653594","https://openalex.org/W3094190102","https://openalex.org/W3121121992","https://openalex.org/W3133491520","https://openalex.org/W3147879240","https://openalex.org/W3167683049","https://openalex.org/W4220899212","https://openalex.org/W4225512839","https://openalex.org/W4283360701","https://openalex.org/W4285386825","https://openalex.org/W4313427331","https://openalex.org/W4318953563","https://openalex.org/W4378219994","https://openalex.org/W4381548520","https://openalex.org/W4385407928","https://openalex.org/W4388637160","https://openalex.org/W4391300518","https://openalex.org/W4392151980","https://openalex.org/W4392243922","https://openalex.org/W4394761959"],"related_works":["https://openalex.org/W2097492617","https://openalex.org/W2753240997","https://openalex.org/W1764168690","https://openalex.org/W2537959205","https://openalex.org/W2740895074","https://openalex.org/W2772446090","https://openalex.org/W4284893819","https://openalex.org/W3124943098","https://openalex.org/W4308112567","https://openalex.org/W3162132941"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2,25,169,184],"work,":[3],"VoteDroid":[4],"a":[5,69],"novel":[6],"fine-tuned":[7,141,180],"deep":[8,103],"learning":[9,104],"models-based":[10],"ensemble":[11,48,148,176],"voting":[12,149],"classifier":[13,150,177],"has":[14,96,178],"been":[15,97,127,179],"proposed":[16,28,194],"for":[17,35,118,186],"detecting":[18],"malicious":[19],"behavior":[20],"in":[21,46,59,90,183,204],"Android":[22],"applications.":[23],"To":[24,166],"end,":[26],"we":[27,137],"adopting":[29],"the":[30,37,40,47,52,64,72,75,78,91,115,122,132,140,171,193,199],"random":[31,65],"search":[32,66],"optimization":[33,94],"algorithm":[34,67],"deciding":[36],"structure":[38,73,117],"of":[39,74,80],"models":[41,105,125,144,195],"used":[42,58,86,98],"as":[43],"voter":[44],"classifiers":[45],"classifier.":[49],"We":[50],"specified":[51],"potential":[53],"components":[54],"that":[55,83,174,192],"can":[56],"be":[57,85],"each":[60,81,119],"model":[61,76],"and":[62,87,110,129,161,181],"left":[63],"taking":[68],"decision":[70],"about":[71],"including":[77],"number":[79],"component":[82],"should":[84],"its":[88],"location":[89],"structure.":[92],"This":[93],"method":[95],"to":[99,145],"build":[100],"three":[101,124,142],"different":[102,153],"namely":[106,156],"CNN-ANN,":[107],"pure":[108,111],"CNN,":[109],"ANN.":[112],"After":[113],"selecting":[114],"best":[116],"DL":[120],"model,":[121],"selected":[123],"have":[126],"trained":[128],"tested":[130],"using":[131],"constructed":[133],"image":[134],"dataset.":[135],"Afterward,":[136],"suggested":[138],"hybridizing":[139],"deep-learning":[143],"form":[146],"one":[147],"with":[151],"two":[152],"working":[154],"modes":[155],"MMR":[157],"(Malware":[158],"Minority":[159],"Rule)":[160],"LMR":[162],"(Label":[163],"Majority":[164],"Rule).":[165],"our":[167],"knowledge,":[168],"is":[170],"first":[172],"time":[173],"an":[175],"hybridized":[182],"way":[185],"malware":[187],"detection.":[188],"The":[189],"results":[190],"showed":[191],"were":[196],"promising,":[197],"where":[198],"classification":[200],"accuracy":[201],"exceeded":[202],"97%":[203],"all":[205],"experiments.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
